wayground logo

Free Printable Worksheets

Font size

S
M
L
XL
Worksheets

Big Data in Public Health Quiz (Team Sapphire)

Total questions: 15

Worksheet time: 12mins

Name
Class
Date
1.

What is WIFIRE Edge? 

a)

A tool for monitoring weather patterns in urban areas 

b)

A platform that combines sensors, edge computing, and AI to help manage wildfires 

c)

A fire prevention system that operates without sensors 

d)

A mobile app exclusively for firefighter communication 

2.

Who uses the WIFIRE Edge platform? 

a)

Urban planners and architects 

b)

Frontline wildfire management personnel, including firefighters, fire chiefs, and burn bosses 

c)

Meteorologists studying weather conditions 

d)

General public for air quality monitoring 

3.

How does WIFIRE Edge work? 

a)

It provides weather forecasts through satellite imagery only 

b)

It collects data through sensors, processes it locally using edge computing, and visualizes

c)

It sends data to a central server for processing and manual analysis 

d)

It relies on mobile apps without integrating sensors or AI 

4.

What is one way big data helps public health practitioners optimize resource allocation? 

a)

By predicting resource needs, like medical supplies and staff, based on data trends

b)

By eliminating all public health challenges entirely 

c)

By replacing human decision-making in healthcare 

d)

By automating all aspects of patient care without oversight 

5.

How does real-time monitoring improve resource management in public health? 

a)

By tracking hospital beds, ventilators, and other critical supplies to avoid shortages 

b)

By completely automating the hiring process for healthcare staff 

c)

By removing the need for on-the-ground decision-making 

d)

By predicting weather changes without additional data 

6.

What is a common challenge practitioners face when using big data in public health? 

a)

Difficulty integrating data from fragmented systems across hospitals and agencies 

b)

Lack of available data for most diseases and conditions 

c)

Oversimplified dashboards that don’t require analysis 

d)

No need for training to interpret the data 

7.

Which of the following was the first significant data-driven disease investigation? 

a)

Ebola outbreak in 2014 

b)

John Snow's cholera map in 1854

c)

COVID-19 pandemic in 2020 

d)

Zika outbreak in 2015

8.

What is the primary advantage of using real-time dashboards in disease surveillance? 

a)

They allow immediate access to outbreak locations

b)

They predict future diseases 

c)

They replace epidemiologists 

d)

They provide historical data 

9.

What percentage of digital health funding in 2024 was focused on AI-driven diagnostics and oncology? 

a)

25%

b)

33%

c)

50%

d)

75%

10.

What is the main purpose of AI-driven diagnostics? 

a)

To detect diseases more accurately 

b)

To replace doctors 

c)

To reduce hospital wait times 

d)

To manufacture medical devices 

11.

What tool is widely used for creating deep learning models, including those for medical imaging and diagnostics? 

a)

NumPy 

b)

TensorFlow 

c)

Pandas 

d)

Matplotlib 

12.

Match the 4 "V"s of Big Data with the correct definitions.

a)

Volume

1.

Amount of data generated

b)

Velocity

2.

Speed of data generation and processing

c)

Variety

3.

Different sources and types of data

d)

Veracity

4.

Quality and trustworthiness of data

13.

In the presented materials, which of the following are discussed as challenges of big data in public health? Select all that apply.

a)

compliance with legislation and regulations

b)

potential lack of user expertise

c)

unclear data governance

d)

high cost of data storage and transmission

e)

obtaining informed consent

14.

Match the 4 types of data analytics with their definitions.

a)

Descriptive

1.

Understanding historical trends

b)

Predictive

2.

Forecasting the future

c)

Prescriptive

3.

Unearthing new strategies

d)

Discovery

4.

Determining what to explore next

15.

What is a key challenge when using Big Data in disease surveillance? 

a)

Too much data to process

b)

Instant data collection

c)

Predicting disease outbreaks

d)

Data visualization